Today’s business must deal with the perfect storm of data challenges: more
data arriving faster, from more sources, and with a shorter decision-making window.
Conventional relational databases cannot deliver the data access speeds or elastic
scalability that is required. VMware vFabric GemFire obliterates critical data base
limitations with in-memory data management and processing.
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Global data backbone

If you had a single, consistent view of data, your organization and application’s
reactions would accelerate exponentially. Managing critical business data in a global
data grid that is automatically synchronized in real-time across all repositories
gives you this single view. Even while in process, data integrity is maintained.
And should there ever be a system failure, nothing is lost thanks to data replication.
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Reduce the cost of mainframe applications

It’s time to break your costly mainframe dependencies. VMware vFabric GemFire
significantly reduces mainframe (MIPS) usage and costs while delivering higher performance
across batch processing and data integration projects. Batch jobs that once took
hours are now completed in seconds. The agility provided by VMware vFabric GemFire
means changes are easier and faster. And with horizontal scaling, you get additional
savings by leveraging commodity x86 hardware.
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Simplify database provisioning and governance

Databases are time-consuming to provision. Without automated policies and role-based access, they also make it difficult to maintain good corporate governance and eliminate database sprawl. By taking advantage of virtualization and cloud computing capabilities, vFabric Data Director enables IT organizations to provide self-service database provisioning to their developers and enable DBaaS.
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Today’s consumers and key decision-makers have real-time expectations. Whether it’s an analyst assessing risk, or a family booking their vacation, a few seconds delay can mean millions of dollars to the business. Meanwhile, data volumes are growing exponentially, and IT faces huge challenges when it comes to database scalability and governance. A modern approach to data management is needed that can provide elastic scale on demand, high-speed data access, and self-service database provisioning.